Model: laion/openthoughts-4-code-qwen3-32b-annotated-32k_qwen3-1.7B_32k Source: Original Platform
36 lines
949 B
Markdown
36 lines
949 B
Markdown
---
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license: apache-2.0
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datasets:
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- laion/openthoughts-4-code-qwen3-32b-32k-annotated
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base_model:
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- Qwen/Qwen3-1.7B
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---
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Test Qwen3 1.7B post-trained on laion/openthoughts-4-code-qwen3-32b-32k-annotated (Qwen3 32B 32k output length annotated, using https://huggingface.co/datasets/mlfoundations-dev/hero_run_4_code as seed for generation)
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.00015
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- per_device_train_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 256
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- total_train_batch_size: 256
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.99) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 2.0
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### Training results
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### Framework versions
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- Transformers 4.55.0
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- Pytorch 2.7.1+cu128
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- Datasets 3.6.0
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- Tokenizers 0.21.1 |